Transcript caws4 12770

How should we measure
cultural change?
@Ted_Underwood, UIUC
Presented at IPAM, UCLA
May 26, 2016
Nonguilty collaborators: Hoyt Long, Richard Jean So,
Yuancheng Zhu (Univ. of Chicago).
Heuser and Le-Khac, 2012
• ABSTRACT VALUES
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moral valuation
partiality
sentiment
social restraint
• “HARD SEEDS”
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action verbs
body parts
physical adjectives
locative prepositions
“Telling” also gives way to “showing,” for
instance, in Percy Lubbock, The Craft of Fiction
(1921).
But Lubbock’s story
doesn’t look like this:
Objection
• The things we can measure in the
aggregate may change slowly. But is that
literary change?
Tentative answer
• It’s a fair objection. Arguments about
change need to focus on specific literary
concepts, and use methods that could
capture discontinuity.
Just measure distances?
“The Evolution of Popular Music”
(Mauch et al., 2015)
“The Evolution of Popular Music”
(Mauch et al., 2015)
snippets
harmonic
and timbral
topics
Euclidean
distances in
topic-space
“The Evolution
of Popular
Music” (Mauch
et al., 2015)
Response: “You
say you found a
revolution,”
collective post on
The Stone and
the Shell.
Why exactly do distances
matter?
Suppose this axis
is, he’ll we’ll she’ll
don’t can’t won’t
We’re only going to know that a
model of change is “literary” if it’s
supervised by literary concepts.
Not just
supervised
by date
Predictive accuracies
of decades against
other decades:
statistically significant,
but slight and
uninterpretable
variations.
50-yr halfwidth
We have to choose a
literary concept.
Detective fiction, described by
three different witnesses
• Took form in the 1890s; may really be a
sequence of distinct generational phases
(Moretti).
• Was defined by Poe in the 1840s
(Rachman).
• “All genres change unceasingly”; crime
fiction no longer has anything to do with
Poe (Ascari).
A casual sample of features
• DETECTIVE
murder
police
investigation
door
found
facts
• NOT
their
taught
live
grow
education
children
Measuring change as “model
decay”
1940s as seen
by itself
1940s as predicted
by a model of 18301930
Label A
Label A
Label B
Label B
lost accuracy
Trained up to 1930, predicting beyond 1930:
(post-1930 model goes from 88.5% to 86.9%
accurate).
The Life Cycles of Genres
• http://culturalanalytics.org/
• No evidence for Moretti’s generational
conjecture.
• Science fiction consolidated before the
pulps are supposed to have consolidated
it. Mary Shelley fits a 20c mold.
• “The Gothic” lacks much textual
coherence outside the late 18c / early 19c.
Anywhere you can supervise a
model:
• patterns of literary prestige / market
success
• social boundaries inside the fictional world
• social identities of authors
• maybe word vectors?
Assumptions about supervised
models
• They can only confirm existing categories.
• They can fail to find predicted continuities,
or find them where not expected.
• The point is maximum accuracy.
• The point is to ground results in a
disciplinary conversation. Low accuracy
can be informative.
So, in conclusion …
But wait!
Model decay is asymmetric!
Fiction and biography become
easier and easier to divide
Ann Radcliffe
Mysteries of Udolpho
Henry Fielding
Tom Jones
Ernest Hemingway
The Hemingway Reader
Roy Friedman
The Insurrection of
Hippolytus Brandenburg
Btw, related to
Heuser & Le-Khac 2012.
Fiction and biography become
easier and easier to divide
Ann Radcliffe
Mysteries of Udolpho
Henry Fielding
Tom Jones
Ernest Hemingway
The Hemingway Reader
Roy Friedman
The Insurrection of
Hippolytus Brandenburg
Because one end
of the timeline is
harder to classify,
models decay
asymmetrically.